Coarse-to-fine evolutionary search for large-scale multi-objective optimization: An application to ratio error estimation of voltage transformers by Jun Li, Kai Zou, Lining Xing

“…Multi-objective optimization problems (MOPs) are commonly confronted in various fields, such as condition monitoring for renewable energy systems, and ratio error estimation of voltage transformers. …”
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A Novel Runtime Algorithm for the Real-Time Analysis and Detection of Unexpected Changes in a Real-Size SHM Network with Quasi-Distributed FBG Sensors by Felipe Isamu H. Sakiyama, Frank Lehmann, Harald Garrecht

“…This paper addresses the main limitations that slow the deployment and the acceptance of real-size structural health monitoring systems (SHM) and presents a novel real-time analysis algorithm based on random variable correlation for condition monitoring. The proposed algorithm was designed to respond automatically to detect unexpected events, such as local structural failure, within a multitude of random dynamic loads. …”
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Multiscale Entropy Feature Extraction Method of Running Power Equipment Sound by Yongjie Zhai, Xu Yang, Yani Peng, Xinying Wang, Kang Bai

“…The equipment condition monitoring based on computer hearing is a new pattern recognition approach, and the system formed by it has the advantages of noncontact and strong early warning abilities. …”
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Wind Turbine Power Curve Modelling with Logistic Functions Based on Quantile Regression by Bo Jing, Zheng Qian, Hamidreza Zareipour, Yan Pei, Anqi Wang

“…The wind turbine power curve (WTPC) is of great significance for wind power forecasting, condition monitoring, and energy assessment. This paper proposes a novel WTPC modelling method with logistic functions based on quantile regression (QRLF). …”
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Design and Implementation of an Immersive Web-Based Digital Twin Steam Turbine System for Industrial Training by Zhe Li, Hui Xiao, Bo Wang, Xuzhu Dong, Lianteng Shen, Xiaomeng Di, Xiaodong Du

“…Subsequently, the functionalities and benefits of the digital twin system in facilitating industrial training are explained, covering aspects such as steam turbine cognitive learning, DEH system simulation learning, and condition monitoring. Finally, a case study in a real thermal power plant is presented to demonstrate the practicability and effectiveness of this web-based digital twin system. …”
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Influence of mechanical faults on the vibration of GIS shell by XU Zhiniu, GUO Yifan, LI Xianfeng, ZHAO Lijuan, JIN Hu, HU Weitao

“…Some certain reference value about the follow-up GIS equipment running condition monitoring,mechanical fault identification and vibration research have been provided in the conclusion of this paper.…”
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Unique Clinical and Histological Features of Placental Mesenchymal Dysplasia Complicated by Severe Preeclampsia in the Midtrimester by Yoshimitsu Kuwabara, Mirei Yonezawa, Yumene Kubota, Tomoko Ichikawa, Ryuji Ohashi, Toshiyuki Takeshita

“…In addition to the pathological findings of vascular endothelial dysfunction characteristic of the placenta in PE cases, enhanced expression of sFlt-1 in the syncytiotrophoblast of the enlarged villi was confirmed by immunohistochemistry as a novel finding in this condition. Monitoring of the serum sFlt-1 value is suggested to be a useful predictor of the pathological change associated with extremely early severe PE in PMD cases.…”
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Review of the Uses of Acoustic Emissions in Monitoring Cavitation Erosion and Crack Propagation by Ismael Fernández-Osete, David Bermejo, Xavier Ayneto-Gubert, Xavier Escaler

“…In particular, artificial intelligence is a promising signal analysis research hotspot, and it has a great potential in the condition monitoring of hydraulic turbines using acoustic emissions as a key factor in the digitalisation process. …”
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Vibrations of Misaligned Rotor System with Hysteretic Friction Arising from Driveshaft–Stator Contact under Dispersed Viscous Fluid Influences by Bernard Xavier Tchomeni, Alfayo Alugongo

“…Further, nonlinear characteristics are reconstructed through orbit shapes and can be adopted in the condition monitoring of rotors in engineering practice.…”
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Knowledge-based and Expert Systems in Prognostics and Health Management: a Survey by Kalil Bouhadra, Florent Forest

“…This trend is mainly due to the increasing use of sensors and the ability of machine learning techniques to leverage condition monitoring data. However, despite their utility and effectiveness, these techniques are not without drawbacks. …”
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Cross-Spectrum of Signals of Vibrations and their Application for Determination of the Technical Condition of Dynamic Equipment by Leonid Mylnikov, Nikita Efimov

“…The importance of the results is as follows: 1) the application of multi-criteria ranking method allowed to make ranking according to the technical condition of the equipment units for which condition monitoring groups of sensors are used; 2) it is shown that equipment condition changing is non-linear and there are areas of accelerated degradation; when the latter ones are reached, an accelerated condition deterioration is encountered; 3) the application of the technique on the data simultaneously taken from four sensors has shown its ability to conduct a comprehensive estimation without reference to a specific type of failure in conditions when the data from individual accelerometers give different information about the failure due to the different distance from the problem area. …”
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New Tendencies in Wind Energy Operation and Maintenance by Ángel M. Costa, José A. Orosa, Diego Vergara, Pablo Fernández-Arias

“…In addition to this, this work includes a review of the following items: (i) operation and maintenance, (ii) failure rate, (iii) reliability, (iv) condition monitoring, (v) maintenance strategies, (vi) maintenance and life cycle and (vii) maintenance optimization As for offshore wind turbines, it is crucial to limit the maximum faults, since the maintenance of these wind farms is more complex both technically and logistically. …”
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Hotspot Temperature Monitoring of Fully Insulated Busbar Taped Joint by Liezheng Tang, Jiangjun Ruan, Zhifei Yang, Rou Chen, Guannan Li, Xuefeng Yin

“…This method is expected to be applied to the engineering application, thus improving the condition monitoring of the fully insulated busbar.…”
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Stator Vibration Characteristic Identification of Turbogenerator among Single and Composite Faults Composed of Static Air-Gap Eccentricity and Rotor Interturn Short Circuit by Yu-Ling He, Wei-Qi Deng, Bo Peng, Meng-Qiang Ke, Gui-Ji Tang, Shu-Ting Wan, Xiang-Yu Liu

“…The achievements of this paper are beneficial for fault identification and condition monitoring of the turbogenerator.…”
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EDT-STACK: A stacking ensemble-based decision trees algorithm for tire tread depth condition classification by Mostafizur Rahman, Noorfazila Kamal, Nor Fadzilah Abdullah

“…This research aims to address this challenge by leveraging machine learning techniques to categorize and assess tire conditions based on tread depth, thereby contributing to developing a robust and automated system for tire safety condition monitoring in diverse vehicle fleets. This article presents a novel ensemble method-based machine learning algorithm called EDT-STACK (Stacking Ensembles-Based Decision Tree) that combines several decision tree-based methods using a stacking ensemble technique. …”
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Diagnosing and PredictingWind Turbine Faults from SCADA Data Using Support Vector Machines by Kevin Leahy, R. Lily Hu, Ioannis C. Konstantakopoulos, Costas J. Spanos, Alice M. Agogino, Dominic T. J. O’Sullivan

“…To date, a strong effort has been applied to developing Condition Monitoring Systems (CMSs) which rely on retrofitting expensive vibration or oil analysis sensors to the turbine. …”
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Unsupervised Fault Detection and Prediction of Remaining Useful Life for Online Prognostic Health Management of Mechanical Systems by Francesca Calabrese, Alberto Regattieri, Lucia Botti, Cristina Mora, Francesco Gabriele Galizia

“…Studies in this field have focused on a novel approach, prognostic health management (PHM), which relies on condition monitoring (CM) for predicting the remaining useful life (RUL) of a system. …”
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Modal analysis of bridge structures by means of forced vibration tests / Tilto konstrukcijų modalinė analizė taikant priverstinės vibracijos testus by Jarosław Zwolski, Jan Bien

“…New modern bridges and older structures exposed to accelerated deterioration need permanent condition monitoring. The major tools used in bridge condition evaluation are based on the results of the experimental modal analysis of bridge structures. …”
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Gear Degradation Study Using Statistical Time Features and Shallow Neural Networks by Shahil Kumar, Krish Kumar Raj, Maurizio Cirrincione, Giansalvo Cirrincione, Rahul Ranjeev Kumar

“…Given their complexity, they are prone to faults and require continuous condition monitoring (CM). The study proposes an innovative approach that combines signal analysis with data-driven techniques to monitor gear conditions accurately. …”
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Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-Starters by Vicente Biot-Monterde, Ángela Navarro-Navarro, Jose A. Antonino-Daviu, Hubert Razik

“…The condition monitoring of induction motors (IM), is an important concern for industry due to the widespread use of these machines. …”
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